Linking pages
- RaySGD: Cheaper and Faster Distributed Pytorch | Distributed Computing with Ray https://medium.com/distributed-computing-with-ray/faster-and-cheaper-pytorch-with-raysgd-a5a44d4fd220 1 comment
- The 7 Questions You Need to Ask to Operate Deep Learning Infrastructure at Scale — James Le https://jameskle.com/writes/deep-learning-infrastructure-tooling 1 comment
- Large Scale Training at BAIR with Ray Tune – The Berkeley Artificial Intelligence Research Blog https://bairblog.github.io/2020/01/16/tune/ 0 comments
- How Ray Uses gRPC (and Arrow) to Outperform gRPC | by Eric Liang | Distributed Computing with Ray | Medium https://medium.com/distributed-computing-with-ray/how-ray-uses-grpc-and-arrow-to-outperform-grpc-43ec368cb385 0 comments
- Ray: A Distributed System for AI – The Berkeley Artificial Intelligence Research Blog http://bair.berkeley.edu/blog/2018/01/09/ray/ 0 comments
- Functional RL with Keras and Tensorflow Eager – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2019/10/14/functional-rl/ 0 comments
- Ray: 0.3 Release | Ray: A fast and simple framework for distributed applications https://ray-project.github.io/2017/11/30/ray-0.3-release.html 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- Distributed Policy Optimizers for Scalable and Reproducible Deep RL - RISE Lab https://rise.cs.berkeley.edu/blog/distributed-policy-optimizers-for-scalable-and-reproducible-deep-rl/ 0 comments
- Large Scale Training at BAIR with Ray Tune – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2020/01/16/tune/ 0 comments
- Simple hyperparameter and architecture search in tensorflow with ray tune | Louis Kirsch http://louiskirsch.com/ai/ray-tune 0 comments
- GitHub - noahgolmant/skeletor: A tiny module for machine learning experiment orchestration https://github.com/noahgolmant/skeletor 0 comments
- Implementing A Parameter Server in 15 Lines of Python with Ray | Ray: A fast and simple framework for distributed applications https://ray-project.github.io/2018/07/15/parameter-server-in-fifteen-lines.html 0 comments
- Deploying Ray on Azure for Scalable Distributed Reinforcement Learning - TheWindowsUpdate.com http://thewindowsupdate.com/2020/04/22/deploying-ray-on-azure-for-scalable-distributed-reinforcement-learning/ 0 comments
- Modern Parallel and Distributed Python: A Quick Tutorial on Ray - RISE Lab https://rise.cs.berkeley.edu/blog/modern-parallel-and-distributed-python-a-quick-tutorial-on-ray/ 0 comments
- Ray for the Curious. Dean Wampler, December 19, 2019 | by Dean Wampler | Distributed Computing with Ray | Medium https://medium.com/distributed-computing-with-ray/ray-for-the-curious-fa0e019e17d3 0 comments
- Functional RL with Keras and Tensorflow Eager | by Eric Liang | riselab | Medium https://medium.com/riselab/functional-rl-with-keras-and-tensorflow-eager-7973f81d6345 0 comments
- Easy Distributed Scikit-Learn with Ray | by Ameer Haj Ali | Distributed Computing with Ray | Medium https://medium.com/distributed-computing-with-ray/easy-distributed-scikit-learn-training-with-ray-54ff8b643b33 0 comments
- Modern Parallel and Distributed Python: A Quick Tutorial on Ray | by Robert Nishihara | Towards Data Science https://medium.com/@robertnishihara/modern-parallel-and-distributed-python-a-quick-tutorial-on-ray-99f8d70369b8 0 comments
- Cutting edge hyperparameter tuning with Ray Tune | by Richard Liaw | riselab | Medium https://medium.com/riselab/cutting-edge-hyperparameter-tuning-with-ray-tune-be6c0447afdf 0 comments
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